Vernon J. Lawhern

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Maximum Likelihood Estimator

Reinforcement Learning

Brain Computer Interface

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
Scalable Interactive Machine Learning for Future Command and Control. CoRR (2024)
David Chhan, Ellen R. Novoseller, Vernon J. Lawhern
Crowd-PrefRL: Preference-Based Reward Learning from Crowds. CoRR (2024)
Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-Based Reinforcement Learning. AAAI (2024)
Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
Scalable Interactive Machine Learning for Future Command and Control. ICMCIS (2024)
Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. CoRR (2023)
Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-based Reinforcement Learning. CoRR (2023)
Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan
Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER (2023)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR (2022)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR (2021)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS (2020)
Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. 68 (2020)
Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern
Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. SMC (2020)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR (2019)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI (2019)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR (2018)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR (2018)
Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern
Analyzing P300 Distractors for Target Reconstruction. EMBC (2018)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR (2018)
Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern
Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR (2018)
Dongrui Wu, Brent J. Lance, Vernon J. Lawhern
Guest Editorial for the Special Section on Brain Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 25 (1) (2017)
Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern
Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI (2017)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR (2017)
Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. CoRR (2017)
Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR (2017)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. 25 (6) (2017)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC (2016)
Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance
Collaborative image triage with humans and computer vision. SMC (2016)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC (2016)
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR (2016)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC (2016)
Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer 49 (9) (2016)
Dongrui Wu, Vernon J. Lawhern, Brent J. Lance
Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. SMC (2015)
Dongrui Wu, Vernon J. Lawhern, Brent J. Lance
Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. ACII (2015)